select community AMIs and search for ubuntu-14.04-hvm-deeplearning-paris

on the Choose instance Type tab, select GPU instances g2.2xlarge

bid a price larger than current price (e.g. $0.10, if it fails check the spot pricing history for that instance type)

in configure security group click Add Rule, and add a Custom TCP Rule with port Range 8888-8889 and from Anywhere

Review and launch, save the mykey.pem file

Once your machine is up (status : running in the online console), note the address to your instance : INSTANCE_ID.compute.amazonaws.com

Note: other regions with access to the deeplearning-paris image: Singapore, Ireland, North Virginia

Start using your instance

Using the notebooks

By default an IPython notebook server and an iTorch notebook server should be running on port 8888 and 8889 respectively. You need to open those ports in the Security Group of your instance if you have not done so yet.

To start using your instance, simply open the following URLs in your favorite browser:

3 réponses à “Setting up your Deep Learning Amazon Machine”

Thanks for the instructions!
If you want to make you spot instance persistant make sure to uncheck « Delete on Termination » that is checked by default. After you’re done with the spot, create an image and use it the next time you create a new spot request.

Thanks for the instructions!
If you want to make you spot instance persistant make sure to uncheck « Delete on Termination » that is checked by default. After you’re done with the spot, create an image and use it the next time you create a new spot request.